update model card README.md

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.4473684210526316
+      value: 0.44350580781414994
     - name: Recall
       type: recall
-      value: 0.5400254129606099
+      value: 0.5336721728081322
     - name: F1
       type: f1
-      value: 0.48934945308002303
+      value: 0.4844290657439446
     - name: Accuracy
       type: accuracy
-      value: 0.9576801898167957
+      value: 0.956318798864211
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the ncbi_disease dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1551
-- Precision: 0.4474
-- Recall: 0.5400
-- F1: 0.4893
-- Accuracy: 0.9577
+- Loss: 0.1545
+- Precision: 0.4435
+- Recall: 0.5337
+- F1: 0.4844
+- Accuracy: 0.9563
 
 ## Model description
 
@@ -78,9 +78,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2855        | 1.0   | 679  | 0.1675          | 0.3396    | 0.4130 | 0.3727 | 0.9456   |
-| 0.1699        | 2.0   | 1358 | 0.1480          | 0.4084    | 0.5044 | 0.4514 | 0.9543   |
-| 0.0965        | 3.0   | 2037 | 0.1551          | 0.4474    | 0.5400 | 0.4893 | 0.9577   |
+| 0.3269        | 1.0   | 679  | 0.1626          | 0.3330    | 0.3850 | 0.3571 | 0.9469   |
+| 0.1703        | 2.0   | 1358 | 0.1466          | 0.3958    | 0.5070 | 0.4446 | 0.9544   |
+| 0.0988        | 3.0   | 2037 | 0.1545          | 0.4435    | 0.5337 | 0.4844 | 0.9563   |
 
 
 ### Framework versions